Technology

We have partnered with a technology business that is embedding AI directly into its core platform, focusing on practical, customer-facing use cases rather than standalone experiments. They are now looking to hire an Applied AI Engineer to help turn AI capability into features that are used in production every day.This is a hands-on role for someone who enjoys working at the intersection of engineering, product, and AI, and who is motivated by outcomes rather than experiments that never leave the lab.About the role:Build and ship AI-powered features that are embedded directly into customer-facing productsWork closely with Product and Engineering to translate real user problems into practical AI solutionsDesign and implement AI workflows that move from experimentation into reliable production systemsApply techniques such as LLM integration, prompt engineering, embeddings, and retrieval-based approaches where they add genuine valueIntegrate AI components into existing backend services and product workflowsEvaluate model performance, reliability, and cost in real-world usageIterate quickly based on user feedback and product requirements About you:Strong engineering background with hands-on experience building and shipping AI-powered features into productionSolid experience using Python in real-world systems, including API development and service integrationPractical experience working with LLMs, including prompt design, model integration, and evaluation in live environmentsFamiliarity with techniques such as embeddings, vector search, and retrieval-based approachesExperience integrating AI components into existing backend architectures rather than greenfield demosStrong understanding of trade-offs around performance, cost, reliability, and security in AI systemsProduct-aware mindset, able to align technical decisions with real user and business needs

We have partnered with a fast-growing, product-led technology company that is building a complex, high-traffic platform and is now looking to hire a Staff Software Engineer. This role sits at the highest individual contributor level and is designed for someone who wants deep technical impact without moving into people management.This is a key hire for the business. You will work on the hardest technical problems, influence architecture and engineering standards, and act as a technical reference point for the wider team as the company continues to scale.About the role:Own and solve complex, high-impact technical challenges across the core platformDrive architectural decisions across distributed, cloud-based systemsWork in a backend environment primarily built using Python and Go, with services designed around scalability, performance, and clear ownership boundariesDesign and evolve APIs, microservices, and event-driven services used across the platformContribute to system design around performance, reliability, security, and observabilityPartner closely with Engineering Managers and Product to shape pragmatic technical solutionsSet engineering standards around code quality, testing, and operational excellenceLead by example through hands-on contribution to critical parts of the codebaseMentor senior and mid-level engineers through design reviews and technical guidance About you:Strong experience as a Senior or Staff Engineer in a product-led or startup environmentDeep understanding of modern backend systems and distributed architecturesHands-on experience with Python and/or Go in production environmentsComfortable working with cloud platforms, containerisation, and CI/CD pipelinesExperience designing and operating systems used at scalePragmatic mindset with a strong focus on maintainability and real-world delivery

We have partnered with a product-led technology company that is scaling its engineering function and is now hiring an Engineering Manager to lead a high-performing team. This is a hands-on leadership role for someone who enjoys building teams, improving delivery, and staying close to technical decisions while working on meaningful, customer-facing products.You will play a key role in shaping how the engineering team operates as the company grows, working closely with Product and Design to ship high-quality features at pace without sacrificing code quality or team culture.About the role:Lead a cross-functional product engineering team responsible for building and evolving core customer-facing featuresOwn sprint planning, prioritisation, and delivery, ensuring predictable execution and clear accountabilityPartner closely with Product to shape technical approaches, break down complex initiatives, and sequence work effectivelyRaise the bar on code quality, testing, and engineering standards through reviews, tooling, and best practicesIdentify delivery bottlenecks and actively improve team velocity, collaboration, and ways of workingContribute to architectural discussions, technical trade-offs, and longer-term platform decisionsSupport hiring, onboarding, and development of engineers as the team scales About you:Proven experience as an Engineering Manager or Senior Engineer who has moved into people leadershipStrong background in modern product-led engineering environmentsComfortable balancing people management with technical oversightExperience working closely with product teams in fast-moving environmentsClear communicator who can align engineers, product, and stakeholders

We have partnered with a product-led organisation building large-scale, production-grade machine learning systems.This is a Principal ML Engineer role for someone who wants to set technical direction, solve hard problems and influence how ML is built and deployed across the business.You will be hands-on where it matters, while also shaping architecture, standards and best practices for ML at scale.About the role:Define and evolve the organisation's machine learning architecture and technical standardsLead the design and deployment of scalable ML pipelines and inference systemsOwn the reliability, performance, and observability of models running in productionPartner closely with data science, engineering, and product leaders on high-impact ML initiativesGuide and mentor senior engineers and data scientists on ML engineering best practicesDrive adoption of modern ML and applied AI techniques where they create real valueAbout you:Deep experience building production ML systems using Python and modern ML frameworks such as PyTorch or TensorFlowStrong background in classical ML (scikit-learn, gradient boosting) and feature engineering at scaleProven experience working with large datasets using Pandas or Polars and distributed processing frameworks like Spark or PySparkHands-on experience deploying models using Docker, APIs (for example FastAPI) and cloud-native infrastructureStrong MLOps experience including experiment tracking, model versioning, monitoring and drift detection using tools such as MLflow or Weights & BiasesExperience orchestrating ML workflows with Airflow, Prefect or DagsterSolid cloud experience across AWS, GCP, or Azure, including scalable compute and managed ML servicesPractical exposure to modern applied AI, including embeddings, vector search and retrieval-augmented generationComfortable setting technical direction, making trade-offs and owning ML outcomes in production

We have partnered with a fast-growing, product-led organisation that is investing heavily in modern data science and applied AI.This is a chance to work on problems where experimentation, model impact and real-world deployment actually matter. The environment is hands-on, fast moving and built for people who want to push beyond dashboards and offline models.This role is about building, testing and shipping intelligent systems. Think modern ML stacks, real-time data, large-scale experimentation and the intersection of classical data science with today's AI tooling.About the role:Design and build end-to-end data science solutions, from problem framing to production deploymentWork with large, messy, real-world datasets and turn them into models that influence product and business decisionsDevelop and iterate on machine learning models including predictive, probabilistic and optimisation-based approachesExperiment with modern techniques such as LLM-powered workflows, embeddings and retrieval-augmented approaches where relevantPartner closely with engineers and product teams to productionise models and measure real impactOwn experimentation, validation, and monitoring to ensure models perform in live environments About you:4-6 years of experience in data science or applied machine learning rolesStrong grounding in statistics, experimentation and model evaluation, not just model buildingHands-on experience with Python and common data science librariesComfortable working across the full lifecycle from exploration to deploymentExperience working with modern ML tooling such as feature stores, model pipelines or real-time inference is a plusCurious by nature and excited by new approaches such as LLMs, agentic workflows and multimodal dataAble to communicate complex ideas clearly to non-technical stakeholders

We have partnered with a fast-growing wealthtech startup entering an exciting phase of product and team growth. The business is building consumer-facing financial products and is now looking to strengthen its frontend capability with a Senior Software Engineer focused on React.This role is well suited to someone who enjoys building and evolving live, production-ready frontend systems, shipping new features regularly and working closely with product and design in a true product-led environment.About the role:Take ownership of building and enhancing frontend features used by real customers in a live environmentWork primarily with React and TypeScript to deliver scalable, high-quality UI componentsCollaborate closely with Product, Design and Backend Engineers to translate requirements into well-executed frontend solutionsContribute to frontend architecture, performance optimisation and code quality standardsSupport and influence best practices around testing, maintainability and frontend toolingExposure to React Native is a plus, particularly where features are shared across web and mobile About you:Around 5-6 years of professional software engineering experience, with a strong frontend focusProven experience working in product-led companies where frontend is core to the user experienceStrong hands-on experience with React and TypeScript in production environmentsComfortable working on live systems, shipping features incrementally and owning what you buildSolid understanding of modern frontend patterns, state management and performance considerationsExperience with React Native is beneficial but not essentialThis is a great opportunity to join a growing wealthtech business where frontend engineering plays a critical role in shaping the product and customer experience.

We are supporting a product-led technology company building advanced agentic AI systems that operate autonomously in real-world environments.This is an opportunity to work on AI that does more than generate responses. You will be building intelligent agents that can reason, plan, take action, and continuously adapt. These systems sit at the core of the product and are already being used by customers at scale.You will be joining a highly technical team working on some of the hardest problems in applied AI today. The focus is on shipping robust, production-ready agentic systems, not experiments or research projects.About the role: In this role, you will design, build, and deploy agentic AI systems capable of solving complex, multi-step problems autonomously. You will work closely with product and engineering teams to turn business challenges into intelligent agent workflows that deliver real outcomes.Your responsibilities will include:Designing agentic architectures including planning, execution, memory, and feedback loopsBuilding agents that use RAG pipelines to retrieve and reason over proprietary knowledgeImplementing embeddings and vector search to support semantic retrieval and long-term agent memoryIntegrating LLMs with tools, APIs, databases, and internal servicesDeveloping evaluation frameworks to measure agent accuracy, reliability, and failure modesOptimising performance, latency, and cost for AI systems running in productionDebugging agent behaviour in complex, real-world scenarios About you: You are a senior-level AI engineer with strong hands-on experience building and deploying intelligent systems. You understand how LLMs behave in production, including their limitations, and you are comfortable designing around them.You will bring:Strong Python engineering skills and experience shipping production-grade AI systemsHands-on experience with agentic AI, RAG pipelines, embeddings, and vector searchSolid understanding of semantic retrieval, context management, and knowledge groundingExperience evaluating and improving LLM-driven systems beyond simple accuracy metricsA product mindset focused on delivering reliable outcomesComfort working in ambiguous problem spaces with high ownership If you are excited by the challenge of building AI agents that actually work in the real world, this is a role worth exploring.

We have partnered with a leading creative organisation that is building scalable, production-ready generative AI systems to support high-end creative output across multiple clients and teams. They are now looking to hire a Creative Technologist - GenAI to design, test, and scale advanced GenAI workflows that sit at the intersection of R&D, production and hands-on experimentation.This role focuses on building the systems behind the work, ensuring AI tools and pipelines are reliable, secure and ready for real-world creative production.About the roleDesign, build, and run end-to-end GenAI pipelines covering diffusion models, video generation, embeddings and LoRA workflowsTranslate open-ended creative briefs into structured technical builds that can be tested, refined and pushed into productionLead dataset preparation, model training runs and asset versioning within secure environmentsMaintain and support GPU infrastructure across cloud and local development setupsWork closely with creative and production teams to ensure tools and workflows align with real project needsPrototype rapidly across multiple technical approaches to identify the most production-ready solutionsCoordinate with global innovation teams to align standards, share learnings and contribute to best practiceDocument workflows and harden systems for scalable use across multiple clients About you:Proven experience building and managing ML or GenAI pipelines in production environmentsStrong working knowledge of ComfyUI, HuggingFace, LoRA, ControlNet and related GenAI toolingExperience working with cloud infrastructure such as AWS and GCPComfortable working through open technical problems and iterating quicklyAble to communicate effectively with both technical and non-technical stakeholdersStrong systems mindset with a focus on reliability, scalability and long-term reuseMotivated by applying emerging technology to real-world creative output

We have partnered with a major consumer business that is redefining its digital experience across web, mobile and in-store channels. They are looking for a Senior Product Manager to drive the roadmap for AI enabled personalisation, customer journey optimisation, and the introduction of new digital features across the full omnichannel lifecycle.The successful candidate will work closely with Engineering, Data, UX and Operations to deliver innovative, commercially focused product enhancements that elevate customer engagement and increase conversion across millions of users.About the role: * Own the product roadmap for AI powered customer experience * Enhance digital journeys across mobile apps, web and retail channels * Deliver data driven personalisation and automation capabilities * Work cross functionally with Engineering, UX and Data teams * Shape long term vision for customer engagement and retentionAbout you: * Strong background in digital product management * Experience delivering AI or data driven capabilities * Comfortable managing large stakeholder groups across tech and business * Ability to turn complex challenges into simple, high impact solutions

We have partnered with a technology business that is embedding AI directly into its core platform, focusing on practical, customer-facing use cases rather than standalone experiments. They are now looking to hire an Applied AI Engineer to help turn AI capability into features that are used in production every day.This is a hands-on role for someone who enjoys working at the intersection of engineering, product, and AI, and who is motivated by outcomes rather than experiments that never leave the lab.About the role:Build and ship AI-powered features that are embedded directly into customer-facing productsWork closely with Product and Engineering to translate real user problems into practical AI solutionsDesign and implement AI workflows that move from experimentation into reliable production systemsApply techniques such as LLM integration, prompt engineering, embeddings, and retrieval-based approaches where they add genuine valueIntegrate AI components into existing backend services and product workflowsEvaluate model performance, reliability, and cost in real-world usageIterate quickly based on user feedback and product requirements About you:Strong engineering background with hands-on experience building and shipping AI-powered features into productionSolid experience using Python in real-world systems, including API development and service integrationPractical experience working with LLMs, including prompt design, model integration, and evaluation in live environmentsFamiliarity with techniques such as embeddings, vector search, and retrieval-based approachesExperience integrating AI components into existing backend architectures rather than greenfield demosStrong understanding of trade-offs around performance, cost, reliability, and security in AI systemsProduct-aware mindset, able to align technical decisions with real user and business needs

We have partnered with a fast-growing, product-led technology company that is building a complex, high-traffic platform and is now looking to hire a Staff Software Engineer. This role sits at the highest individual contributor level and is designed for someone who wants deep technical impact without moving into people management.This is a key hire for the business. You will work on the hardest technical problems, influence architecture and engineering standards, and act as a technical reference point for the wider team as the company continues to scale.About the role:Own and solve complex, high-impact technical challenges across the core platformDrive architectural decisions across distributed, cloud-based systemsWork in a backend environment primarily built using Python and Go, with services designed around scalability, performance, and clear ownership boundariesDesign and evolve APIs, microservices, and event-driven services used across the platformContribute to system design around performance, reliability, security, and observabilityPartner closely with Engineering Managers and Product to shape pragmatic technical solutionsSet engineering standards around code quality, testing, and operational excellenceLead by example through hands-on contribution to critical parts of the codebaseMentor senior and mid-level engineers through design reviews and technical guidance About you:Strong experience as a Senior or Staff Engineer in a product-led or startup environmentDeep understanding of modern backend systems and distributed architecturesHands-on experience with Python and/or Go in production environmentsComfortable working with cloud platforms, containerisation, and CI/CD pipelinesExperience designing and operating systems used at scalePragmatic mindset with a strong focus on maintainability and real-world delivery

We have partnered with a product-led technology company that is scaling its engineering function and is now hiring an Engineering Manager to lead a high-performing team. This is a hands-on leadership role for someone who enjoys building teams, improving delivery, and staying close to technical decisions while working on meaningful, customer-facing products.You will play a key role in shaping how the engineering team operates as the company grows, working closely with Product and Design to ship high-quality features at pace without sacrificing code quality or team culture.About the role:Lead a cross-functional product engineering team responsible for building and evolving core customer-facing featuresOwn sprint planning, prioritisation, and delivery, ensuring predictable execution and clear accountabilityPartner closely with Product to shape technical approaches, break down complex initiatives, and sequence work effectivelyRaise the bar on code quality, testing, and engineering standards through reviews, tooling, and best practicesIdentify delivery bottlenecks and actively improve team velocity, collaboration, and ways of workingContribute to architectural discussions, technical trade-offs, and longer-term platform decisionsSupport hiring, onboarding, and development of engineers as the team scales About you:Proven experience as an Engineering Manager or Senior Engineer who has moved into people leadershipStrong background in modern product-led engineering environmentsComfortable balancing people management with technical oversightExperience working closely with product teams in fast-moving environmentsClear communicator who can align engineers, product, and stakeholders

We have partnered with a product-led organisation building large-scale, production-grade machine learning systems.This is a Principal ML Engineer role for someone who wants to set technical direction, solve hard problems and influence how ML is built and deployed across the business.You will be hands-on where it matters, while also shaping architecture, standards and best practices for ML at scale.About the role:Define and evolve the organisation's machine learning architecture and technical standardsLead the design and deployment of scalable ML pipelines and inference systemsOwn the reliability, performance, and observability of models running in productionPartner closely with data science, engineering, and product leaders on high-impact ML initiativesGuide and mentor senior engineers and data scientists on ML engineering best practicesDrive adoption of modern ML and applied AI techniques where they create real valueAbout you:Deep experience building production ML systems using Python and modern ML frameworks such as PyTorch or TensorFlowStrong background in classical ML (scikit-learn, gradient boosting) and feature engineering at scaleProven experience working with large datasets using Pandas or Polars and distributed processing frameworks like Spark or PySparkHands-on experience deploying models using Docker, APIs (for example FastAPI) and cloud-native infrastructureStrong MLOps experience including experiment tracking, model versioning, monitoring and drift detection using tools such as MLflow or Weights & BiasesExperience orchestrating ML workflows with Airflow, Prefect or DagsterSolid cloud experience across AWS, GCP, or Azure, including scalable compute and managed ML servicesPractical exposure to modern applied AI, including embeddings, vector search and retrieval-augmented generationComfortable setting technical direction, making trade-offs and owning ML outcomes in production

We have partnered with a fast-growing, product-led organisation that is investing heavily in modern data science and applied AI.This is a chance to work on problems where experimentation, model impact and real-world deployment actually matter. The environment is hands-on, fast moving and built for people who want to push beyond dashboards and offline models.This role is about building, testing and shipping intelligent systems. Think modern ML stacks, real-time data, large-scale experimentation and the intersection of classical data science with today's AI tooling.About the role:Design and build end-to-end data science solutions, from problem framing to production deploymentWork with large, messy, real-world datasets and turn them into models that influence product and business decisionsDevelop and iterate on machine learning models including predictive, probabilistic and optimisation-based approachesExperiment with modern techniques such as LLM-powered workflows, embeddings and retrieval-augmented approaches where relevantPartner closely with engineers and product teams to productionise models and measure real impactOwn experimentation, validation, and monitoring to ensure models perform in live environments About you:4-6 years of experience in data science or applied machine learning rolesStrong grounding in statistics, experimentation and model evaluation, not just model buildingHands-on experience with Python and common data science librariesComfortable working across the full lifecycle from exploration to deploymentExperience working with modern ML tooling such as feature stores, model pipelines or real-time inference is a plusCurious by nature and excited by new approaches such as LLMs, agentic workflows and multimodal dataAble to communicate complex ideas clearly to non-technical stakeholders

We have partnered with a fast-growing wealthtech startup entering an exciting phase of product and team growth. The business is building consumer-facing financial products and is now looking to strengthen its frontend capability with a Senior Software Engineer focused on React.This role is well suited to someone who enjoys building and evolving live, production-ready frontend systems, shipping new features regularly and working closely with product and design in a true product-led environment.About the role:Take ownership of building and enhancing frontend features used by real customers in a live environmentWork primarily with React and TypeScript to deliver scalable, high-quality UI componentsCollaborate closely with Product, Design and Backend Engineers to translate requirements into well-executed frontend solutionsContribute to frontend architecture, performance optimisation and code quality standardsSupport and influence best practices around testing, maintainability and frontend toolingExposure to React Native is a plus, particularly where features are shared across web and mobile About you:Around 5-6 years of professional software engineering experience, with a strong frontend focusProven experience working in product-led companies where frontend is core to the user experienceStrong hands-on experience with React and TypeScript in production environmentsComfortable working on live systems, shipping features incrementally and owning what you buildSolid understanding of modern frontend patterns, state management and performance considerationsExperience with React Native is beneficial but not essentialThis is a great opportunity to join a growing wealthtech business where frontend engineering plays a critical role in shaping the product and customer experience.

We are supporting a product-led technology company building advanced agentic AI systems that operate autonomously in real-world environments.This is an opportunity to work on AI that does more than generate responses. You will be building intelligent agents that can reason, plan, take action, and continuously adapt. These systems sit at the core of the product and are already being used by customers at scale.You will be joining a highly technical team working on some of the hardest problems in applied AI today. The focus is on shipping robust, production-ready agentic systems, not experiments or research projects.About the role: In this role, you will design, build, and deploy agentic AI systems capable of solving complex, multi-step problems autonomously. You will work closely with product and engineering teams to turn business challenges into intelligent agent workflows that deliver real outcomes.Your responsibilities will include:Designing agentic architectures including planning, execution, memory, and feedback loopsBuilding agents that use RAG pipelines to retrieve and reason over proprietary knowledgeImplementing embeddings and vector search to support semantic retrieval and long-term agent memoryIntegrating LLMs with tools, APIs, databases, and internal servicesDeveloping evaluation frameworks to measure agent accuracy, reliability, and failure modesOptimising performance, latency, and cost for AI systems running in productionDebugging agent behaviour in complex, real-world scenarios About you: You are a senior-level AI engineer with strong hands-on experience building and deploying intelligent systems. You understand how LLMs behave in production, including their limitations, and you are comfortable designing around them.You will bring:Strong Python engineering skills and experience shipping production-grade AI systemsHands-on experience with agentic AI, RAG pipelines, embeddings, and vector searchSolid understanding of semantic retrieval, context management, and knowledge groundingExperience evaluating and improving LLM-driven systems beyond simple accuracy metricsA product mindset focused on delivering reliable outcomesComfort working in ambiguous problem spaces with high ownership If you are excited by the challenge of building AI agents that actually work in the real world, this is a role worth exploring.

We have partnered with a leading creative organisation that is building scalable, production-ready generative AI systems to support high-end creative output across multiple clients and teams. They are now looking to hire a Creative Technologist - GenAI to design, test, and scale advanced GenAI workflows that sit at the intersection of R&D, production and hands-on experimentation.This role focuses on building the systems behind the work, ensuring AI tools and pipelines are reliable, secure and ready for real-world creative production.About the roleDesign, build, and run end-to-end GenAI pipelines covering diffusion models, video generation, embeddings and LoRA workflowsTranslate open-ended creative briefs into structured technical builds that can be tested, refined and pushed into productionLead dataset preparation, model training runs and asset versioning within secure environmentsMaintain and support GPU infrastructure across cloud and local development setupsWork closely with creative and production teams to ensure tools and workflows align with real project needsPrototype rapidly across multiple technical approaches to identify the most production-ready solutionsCoordinate with global innovation teams to align standards, share learnings and contribute to best practiceDocument workflows and harden systems for scalable use across multiple clients About you:Proven experience building and managing ML or GenAI pipelines in production environmentsStrong working knowledge of ComfyUI, HuggingFace, LoRA, ControlNet and related GenAI toolingExperience working with cloud infrastructure such as AWS and GCPComfortable working through open technical problems and iterating quicklyAble to communicate effectively with both technical and non-technical stakeholdersStrong systems mindset with a focus on reliability, scalability and long-term reuseMotivated by applying emerging technology to real-world creative output

We have partnered with a major consumer business that is redefining its digital experience across web, mobile and in-store channels. They are looking for a Senior Product Manager to drive the roadmap for AI enabled personalisation, customer journey optimisation, and the introduction of new digital features across the full omnichannel lifecycle.The successful candidate will work closely with Engineering, Data, UX and Operations to deliver innovative, commercially focused product enhancements that elevate customer engagement and increase conversion across millions of users.About the role: * Own the product roadmap for AI powered customer experience * Enhance digital journeys across mobile apps, web and retail channels * Deliver data driven personalisation and automation capabilities * Work cross functionally with Engineering, UX and Data teams * Shape long term vision for customer engagement and retentionAbout you: * Strong background in digital product management * Experience delivering AI or data driven capabilities * Comfortable managing large stakeholder groups across tech and business * Ability to turn complex challenges into simple, high impact solutions